A new optoelectronic sensor for monitoring fruit or stem radial growth

Thalheimer, M.

doi:10.1016/j.compag.2016.02.028

Cited by 30 publications

(13 citation statements)

References 14 publications

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“…In apple, pear and actinidia, digital calipers can be used to monitor fruit growing performances and provide a feedback about the appropriateness of the orchard management practices (www.hkconsulting.it). Furthermore, different types of fruit gauges to accurately monitor the daily pattern of fruit growth rate have been developed (Morandi et al, 2007;Thalheimer, 2016), and to date many solutions are commercially available, although some concerns related to the ease of use and cost effectiveness of these sensors still remain.…”

Section: Introductionmentioning

confidence: 99%

Monitoring fruit daily growth indicates the onset of mild drought stress in apple

Boini

Manfrini

Bortolotti

et al. 2019

Scientia Horticulturae

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Section: Introductionmentioning

confidence: 99%

Monitoring fruit daily growth indicates the onset of mild drought stress in apple

Boini

Manfrini

Bortolotti

et al. 2019

Scientia Horticulturae

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“…Furthermore, when change of colors cannot be a measure of ripeness, size and volume growth can be good candidates for indexes regarding such predictions; see Section 1.4 for the pear production in Japan. In fact, devices to continuously measure fruit size have been developed, for example stainless frames with potentiometers to be put on fruit [6], and flexible tapes around fruit to be read by infrared reflex sensors [7].…”

Section: Monitoring Fruit Growthmentioning

confidence: 99%

Central Object Segmentation by Deep Learning to Continuously Monitor Fruit Growth through RGB Images

Fukuda

Okuno

Yuki³

2021

Sensors

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Monitoring fruit growth is useful when estimating final yields in advance and predicting optimum harvest times. However, observing fruit all day at the farm via RGB images is not an easy task because the light conditions are constantly changing. In this paper, we present CROP (Central Roundish Object Painter). The method involves image segmentation by deep learning, and the architecture of the neural network is a deeper version of U-Net. CROP identifies different types of central roundish fruit in an RGB image in varied light conditions, and creates a corresponding mask. Counting the mask pixels gives the relative two-dimensional size of the fruit, and in this way, time-series images may provide a non-contact means of automatically monitoring fruit growth. Although our measurement unit is different from the traditional one (length), we believe that shape identification potentially provides more information. Interestingly, CROP can have a more general use, working even for some other roundish objects. For this reason, we hope that CROP and our methodology yield big data to promote scientific advancements in horticultural science and other fields.

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“…Currently, optoelectronic sensors have been applied in fruit or stem growth monitoring in agriculture [ 1 ], nitric oxide detection with high sensitivity [ 2 ], pulse oximetry for pulse rate and oxygenation measurement [ 3 ], and salivary diagnosis of stomach cancer [ 4 ]. OPT101 (Monolithic photodiode and single-supply transimpedance amplifier, Texas Instruments, America) is one type of optoelectronic sensor which converts optical signal to electronic signal without additional noise [ 5 ] and with signal amplification function.…”

Section: Introductionmentioning

confidence: 99%

A Brief Review of OPT101 Sensor Application in Near-Infrared Spectroscopy Instrumentation for Intensive Care Unit Clinics

Zhong

Pan

et al. 2017

Sensors

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The optoelectronic sensor OPT101 have merits in advanced optoelectronic response characteristics at wavelength range for medical near-infrared spectroscopy and small-size chip design with build-in trans-impedance amplifier. Our lab is devoted to developing a series of portable near-infrared spectroscopy (NIRS) devices embedded with OPT101 for applications in intensive care unit clinics, based on NIRS principle. Here we review the characteristics and advantages of OPT101 relative to clinical NIRS instrumentation, and the most recent achievements, including early-diagnosis and therapeutic effect evaluation of thrombus, noninvasive monitoring of patients' shock severity, and fatigue evaluation. The future prospect on OPT101 improvements in noninvasive clinical applications is also discussed.

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A new optoelectronic sensor for monitoring fruit or stem radial growth

Cited by 30 publications

References 14 publications

Monitoring fruit daily growth indicates the onset of mild drought stress in apple

Monitoring fruit daily growth indicates the onset of mild drought stress in apple

Central Object Segmentation by Deep Learning to Continuously Monitor Fruit Growth through RGB Images

A Brief Review of OPT101 Sensor Application in Near-Infrared Spectroscopy Instrumentation for Intensive Care Unit Clinics

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